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Saving Data in Multiple Databases Simultaneously Using Dynamic SQL in PostgreSQL
When working with large, distributed database systems, there comes a moment when you need to save or update data across multiple databases simultaneously. This is especially true in scenarios where data synchronization is critical for ensuring consistency across different locations. In this article, we’ll explore how to achieve this using dynamic SQL in PostgreSQL with a practical example inspired by pkg_mul_db_operations.
The Need for Multi-Database Operations
Imagine you’re managing a distributed system where customer records, transactions, or inventory details are spread across several database instances. Updating one database isn’t enough — you need a mechanism to propagate these changes to every linked database while handling errors gracefully. That’s where dynamic SQL comes into play.
Dynamic SQL: The Secret Sauce
Dynamic SQL allows you to construct and execute SQL statements on the fly, tailoring them to specific conditions or targets. When combined with a mechanism to iterate through database links, it becomes a powerful tool for multi-database operations.
